Data Interpretation and Reporting with R
11 May 2016
Brisbane, AustraliaData Interpretation and Reporting with R http://www.qfab.org/event/data-interpretation-and-reporting-with-r-2/ https://tess.elixir-europe.org/events/data-interpretation-and-reporting-with-r This hands-on workshop will introduce users of the R software environment to the techniques involved in generating reproducible, dynamic data analyses and reports. Using literate programming approaches, participants will learn to build automated reusable reports in R. Practical exercises will include integration and manipulation of datasets, generation of summary statistics about a dataset, and how to produce high-quality tables and charts. Recommended participants Biologists and bioinformaticians wishing to structure and interpret data and generate dynamic reports using R. Prior expertise with R and the command line interface is required, to a level equivalent of that provided by the QFAB workshop “Introduction to R”. What will I learn? During this course you will learn about: Building dynamic reports for reproducible research with literate programming techniques Reformatting data and summarising and integrating datasets Generating high-quality graphic presentations of data Producing reusable scripts in R After this course you should be able to: Import tabular data files into R Use R to merge data from two or more files based on common fields Extract data from a table and summarise it in both text and graphical formats Create a knitR template that combines automated data analysis with free-form text interpretation 2016-05-11 09:00:00 UTC 2016-05-11 00:00:00 UTC University of Queensland University of Queensland, Brisbane, Australia University of Queensland Brisbane Australia Data architecture, analysis and design    workshops_and_courses  ABRRQFAB
Differential Gene Expression Analysis with R (microarray and NGS)
25 May 2016
Brisbane, AustraliaDifferential Gene Expression Analysis with R (microarray and NGS) http://www.qfab.org/event/workshop-analysis-of-microarray-and-ngs-data-with-r-2-2/ https://tess.elixir-europe.org/events/differential-gene-expression-analysis-with-r-microarray-and-ngs This hands-on workshop will introduce users of the R software environment to the specific skills and applications used in the analysis of microarray and next-generation sequencing (NGS) data. Practical exercises will include quality control and normalisation of data for differential gene expression, and linking genomic information to external public datasets. Recommended participants Biologists and bioinformaticians wishing to use R for RNA expression analysis. Prior expertise with R and the command line interface is required, to a level equivalent of that provided by the QFAB workshop “Introduction to R”. What will I learn? During this course you will learn about: Pre-processing and quality control of microarray and RNA-Seq data The use of R packages for the identification of differentially-expressed genes from expression data Systems biology interpretation of gene lists using pathway analysis Integration of expression and genome data with Ensembl databases After this course you should be able to: Import Affymetrix CEL files to R as data objects Carry out standard QC tests on microarray and RNA-Seq datasets Use the limma-voom R package to produce lists of differentially expressed genes between pairs of samples Identify over-represented gene ontology categories in gene lists using the GOStats package 2016-05-25 09:00:00 UTC 2016-05-25 00:00:00 UTC University of Queensland, Brisbane, Australia University of Queensland Brisbane Australia Sequencing Gene expression Data architecture, analysis and design    workshops_and_courses  ABRQFABR
Advances in Computational Biology Conference 2019
28 - 29 November 2019
Barcelona, SpainAdvances in Computational Biology Conference 2019 https://www.iscb.org/advcompbio2019 https://tess.elixir-europe.org/events/advances-in-computational-biology-conference-2019 The first **Advances in Computational Biology conference – _Fostering collaboration among women scientists_** will bring together researchers working on systems biology, omics technologies, artificial intelligence and high-performance computing with applications to biology from both the public and private sectors. One of the main purposes of the conference is to **visualize and promote the research done by women scientists** and for this reason, all presenters will be women, although the conference is open to everyone. We want to create a space to foster collaborations between scientists, providing an excellent opportunity to share ideas and build research networks. Topics included: - **Learning from Biological Sequences**: population genomics, evolutionary genomics, systems biology, transcriptomics, sequence analysis - **When Computational Biology meets Medicine**: biomedical applications, mutational landscapes, clinical genomics - **Machines Speeding up Research**: high performance computing, machine learning in the life sciences, imaging data analysis, dynamic simulations and algorithm development Key dates: - Open registration: May 6th, 2019 - Abstract submission opens: May 6th, 2019 - **Abstract submission deadline: July 1st, 2019** - Early bird registration deadline: September 15th, 2019 - Registration deadline: November 1st, 2019 - AdvCompBio Conference: November 28th - 29th, 2019 The programme will include poster and oral presentations, as well as keynotes from leading scientists in the computational biology and high-performance computing fields. The keynote speakers of the conference are: **Christine Orengo**, group leader of Orengo Group at University College London, **Natasa Przulj**, group leader of the Life Sciences – Integrative Computational Network Biology at the Barcelona Supercomputing Center and **Marie-Christine Sawley**, director of the Exascale Lab at Intel. The confirmed chairs of the conference are: **Alison Kennedy**, director of the STFC Hartree Centre, **Janet Kelso**, group leader of the Minerva Research Group for Bioinformatics at the Max Planck Institute for Evolutionary Anthropology, and **Nuria Lopez-Bigas**, leader of the Biomedical Genomics Research Group at the Institute for Research in Biomedicine Barcelona. Furthermore, the participants will have the opportunity to interact personally with female leaders in the fields of IT, academic research and politics that support the conference. The conference is organised by the Bioinfo4Women programme from the Barcelona Supercomputing Center (BSC-CNS) with the collaboration of IMIM-UPF Research Programme on Biomedical Informatics (GRIB), the Spanish National Bioinformatics Institute (INB/ELIXIR-ES) and the Universitat Politècnica de Catalunya (UPC). It is an affiliate conference of the International Society for Computational Biology (ISCB). 2019-11-28 09:00:00 UTC 2019-11-29 17:00:00 UTC La Pedrera, 92, Passeig de Gràcia, Barcelona, Spain La Pedrera, 92, Passeig de Gràcia Barcelona Barcelona Spain Imaging Machine learning Computational biology Computer science Biomedical science Sequence analysis Transcriptomics Evolutionary biology Population genomics Omics Systems biology Bioinformatics   ResearchersPhD studentsPostdoctoral studentsComputer scienceComputational biologistsbioinformaticians meetings_and_conferences  HPCBioinformaticsComputational BiologyArtificial IntelligenceGenomicsTranscriptomicsSystems biologyPopulation GenomicsEvolutinary genomicsSequence Analysisbiomedical applicationsmutational landscapesclinical genomicsImagingdynamic simulationsalgorithmsmachine learning
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